diff --git a/.env.example b/.env.example
index 06309d1..40e5b2a 100644
--- a/.env.example
+++ b/.env.example
@@ -1,16 +1,3 @@
-# APP SETTINGS
-ENV=local
-APP_SETTINGS=<app settings 'config.DevelopmentConfig' for development and 'config.ProductionConfig' for stage or alpha >
-
 # BACKEND
 BACKEND_URL=<backend url>
 BACKEND_API_KEY=<backend apikey>
-
-# API_KEY
-API_KEY=<video ingestion apikey>
-
-# Redis
-REDISCLOUD_URL=<redis cloud url>
-
-# Ssh key
-SSH_KEY=<ssh key only for stage or alpha to install edream-sdk>
diff --git a/.github/workflows/build-and-push.yml b/.github/workflows/build-and-push.yml
new file mode 100644
index 0000000..58b717b
--- /dev/null
+++ b/.github/workflows/build-and-push.yml
@@ -0,0 +1,61 @@
+name: Build and Push Docker Image
+
+on:
+  push:
+    branches:
+      - main
+      - stage
+  workflow_dispatch:
+    inputs:
+      docker_tag:
+        required: false
+        default: ""
+        type: string
+
+env:
+  REGISTRY: docker.io
+  IMAGE_NAME: edreamai/dream-ingestion
+
+jobs:
+  build-and-push:
+    runs-on: container-builder
+
+    steps:
+      - name: Checkout repository
+        uses: actions/checkout@v4
+
+      - name: Set up Docker Buildx
+        uses: docker/setup-buildx-action@v3
+
+      - name: Log in to Docker Hub
+        uses: docker/login-action@v3
+        with:
+          registry: ${{ env.REGISTRY }}
+          username: ${{ secrets.DOCKERHUB_USERNAME }}
+          password: ${{ secrets.DOCKERHUB_TOKEN }}
+
+      - name: Generate image metadata
+        id: meta
+        run: |
+          TIMESTAMP=$(date +%Y%m%d%H%M%S)
+          VERSION="${TIMESTAMP}"
+
+          TAG_SUFFIX="${{ github.event.inputs.docker_tag }}"
+          if [ -n "$TAG_SUFFIX" ]; then
+            VERSION="${VERSION}-${TAG_SUFFIX}"
+          fi
+
+          echo "version=${VERSION}" >> $GITHUB_OUTPUT
+          echo "image_tag=${{ env.REGISTRY }}/${{ env.IMAGE_NAME }}:${VERSION}" >> $GITHUB_OUTPUT
+          echo "latest_tag=${{ env.REGISTRY }}/${{ env.IMAGE_NAME }}:latest" >> $GITHUB_OUTPUT
+
+      - name: Build and Push Docker Image
+        uses: docker/build-push-action@v5
+        with:
+          context: .
+          file: ./Dockerfile
+          push: true
+          tags: |
+            ${{ steps.meta.outputs.image_tag }}
+            ${{ steps.meta.outputs.latest_tag }}
+          platforms: linux/amd64
diff --git a/.gitignore b/.gitignore
index 96508d4..11e3d77 100644
--- a/.gitignore
+++ b/.gitignore
@@ -12,4 +12,7 @@ flask.log
 rq_worker.log
 
 # python-api
-python-api
\ No newline at end of file
+python-api
+
+# output
+output/
\ No newline at end of file
diff --git a/Dockerfile b/Dockerfile
new file mode 100644
index 0000000..30fc571
--- /dev/null
+++ b/Dockerfile
@@ -0,0 +1,87 @@
+FROM nvidia/cuda:12.8.0-cudnn-devel-ubuntu22.04 AS ffmpeg-builder
+
+RUN apt-get update && \
+    apt-get install -y --no-install-recommends \
+        build-essential \
+        pkg-config \
+        yasm \
+        nasm \
+        git \
+        wget \
+        libx264-dev \
+        libx265-dev \
+        libnuma-dev \
+        libvpx-dev \
+        libfdk-aac-dev \
+        libmp3lame-dev \
+        libopus-dev \
+        libfreetype6-dev \
+    && apt-get clean && rm -rf /var/lib/apt/lists/*
+
+RUN git clone https://git.videolan.org/git/ffmpeg/nv-codec-headers.git /tmp/nv-codec-headers && \
+    cd /tmp/nv-codec-headers && \
+    make install
+
+RUN git clone --depth 1 --branch n8.1 https://github.com/FFmpeg/FFmpeg.git /tmp/ffmpeg && \
+    cd /tmp/ffmpeg && \
+    ./configure \
+        --prefix=/usr/local \
+        --enable-gpl \
+        --enable-nonfree \
+        --enable-cuda-nvcc \
+        --enable-cuvid \
+        --enable-nvenc \
+        --enable-nvdec \
+        --enable-libx264 \
+        --enable-libx265 \
+        --enable-libvpx \
+        --enable-libfdk-aac \
+        --enable-libmp3lame \
+        --enable-libopus \
+        --enable-libfreetype \
+        --extra-cflags="-I/usr/local/cuda/include" \
+        --extra-ldflags="-L/usr/local/cuda/lib64" \
+        --nvccflags="-gencode arch=compute_75,code=sm_75 -O2" \
+    && make -j$(nproc) \
+    && make install
+
+FROM nvidia/cuda:12.8.0-cudnn-runtime-ubuntu22.04
+
+COPY --from=ffmpeg-builder /usr/local/bin/ffmpeg /usr/local/bin/ffmpeg
+COPY --from=ffmpeg-builder /usr/local/bin/ffprobe /usr/local/bin/ffprobe
+COPY --from=ffmpeg-builder /usr/local/lib/*.so* /usr/local/lib/
+
+WORKDIR /app
+
+RUN apt-get update && \
+    apt-get install -y --no-install-recommends \
+        imagemagick \
+        python3 \
+        python3-pip \
+        git \
+        libx264-163 \
+        libx265-199 \
+        libvpx7 \
+        libfdk-aac2 \
+        libmp3lame0 \
+        libopus0 \
+        libfreetype6 \
+        libnuma1 \
+    && apt-get clean && rm -rf /var/lib/apt/lists/* \
+    && ldconfig
+
+COPY requirements.txt /app/requirements.txt
+RUN pip install --no-cache-dir -r /app/requirements.txt
+
+COPY handler.py /app/handler.py
+COPY clients/ /app/clients/
+COPY utils/ /app/utils/
+COPY constants/ /app/constants/
+
+COPY entrypoint.sh /usr/local/bin/entrypoint.sh
+RUN chmod +x /usr/local/bin/entrypoint.sh
+
+RUN mkdir -p /app/assets
+
+ENTRYPOINT ["/usr/local/bin/entrypoint.sh"]
+CMD ["python3", "-u", "/app/handler.py"]
diff --git a/LICENSE b/LICENSE
new file mode 100644
index 0000000..0ad25db
--- /dev/null
+++ b/LICENSE
@@ -0,0 +1,661 @@
+                    GNU AFFERO GENERAL PUBLIC LICENSE
+                       Version 3, 19 November 2007
+
+ Copyright (C) 2007 Free Software Foundation, Inc. <https://fsf.org/>
+ Everyone is permitted to copy and distribute verbatim copies
+ of this license document, but changing it is not allowed.
+
+                            Preamble
+
+  The GNU Affero General Public License is a free, copyleft license for
+software and other kinds of works, specifically designed to ensure
+cooperation with the community in the case of network server software.
+
+  The licenses for most software and other practical works are designed
+to take away your freedom to share and change the works.  By contrast,
+our General Public Licenses are intended to guarantee your freedom to
+share and change all versions of a program--to make sure it remains free
+software for all its users.
+
+  When we speak of free software, we are referring to freedom, not
+price.  Our General Public Licenses are designed to make sure that you
+have the freedom to distribute copies of free software (and charge for
+them if you wish), that you receive source code or can get it if you
+want it, that you can change the software or use pieces of it in new
+free programs, and that you know you can do these things.
+
+  Developers that use our General Public Licenses protect your rights
+with two steps: (1) assert copyright on the software, and (2) offer
+you this License which gives you legal permission to copy, distribute
+and/or modify the software.
+
+  A secondary benefit of defending all users' freedom is that
+improvements made in alternate versions of the program, if they
+receive widespread use, become available for other developers to
+incorporate.  Many developers of free software are heartened and
+encouraged by the resulting cooperation.  However, in the case of
+software used on network servers, this result may fail to come about.
+The GNU General Public License permits making a modified version and
+letting the public access it on a server without ever releasing its
+source code to the public.
+
+  The GNU Affero General Public License is designed specifically to
+ensure that, in such cases, the modified source code becomes available
+to the community.  It requires the operator of a network server to
+provide the source code of the modified version running there to the
+users of that server.  Therefore, public use of a modified version, on
+a publicly accessible server, gives the public access to the source
+code of the modified version.
+
+  An older license, called the Affero General Public License and
+published by Affero, was designed to accomplish similar goals.  This is
+a different license, not a version of the Affero GPL, but Affero has
+released a new version of the Affero GPL which permits relicensing under
+this license.
+
+  The precise terms and conditions for copying, distribution and
+modification follow.
+
+                       TERMS AND CONDITIONS
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+the predecessor has it or can get it with reasonable efforts.
+
+  You may not impose any further restrictions on the exercise of the
+rights granted or affirmed under this License.  For example, you may
+not impose a license fee, royalty, or other charge for exercise of
+rights granted under this License, and you may not initiate litigation
+(including a cross-claim or counterclaim in a lawsuit) alleging that
+any patent claim is infringed by making, using, selling, offering for
+sale, or importing the Program or any portion of it.
+
+  11. Patents.
+
+  A "contributor" is a copyright holder who authorizes use under this
+License of the Program or a work on which the Program is based.  The
+work thus licensed is called the contributor's "contributor version".
+
+  A contributor's "essential patent claims" are all patent claims
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+hereafter acquired, that would be infringed by some manner, permitted
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+but do not include claims that would be infringed only as a
+consequence of further modification of the contributor version.  For
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+patent sublicenses in a manner consistent with the requirements of
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+patent license under the contributor's essential patent claims, to
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+  In the following three paragraphs, a "patent license" is any express
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+(such as an express permission to practice a patent or covenant not to
+sue for patent infringement).  To "grant" such a patent license to a
+party means to make such an agreement or commitment not to enforce a
+patent against the party.
+
+  If you convey a covered work, knowingly relying on a patent license,
+and the Corresponding Source of the work is not available for anyone
+to copy, free of charge and under the terms of this License, through a
+publicly available network server or other readily accessible means,
+then you must either (1) cause the Corresponding Source to be so
+available, or (2) arrange to deprive yourself of the benefit of the
+patent license for this particular work, or (3) arrange, in a manner
+consistent with the requirements of this License, to extend the patent
+license to downstream recipients.  "Knowingly relying" means you have
+actual knowledge that, but for the patent license, your conveying the
+covered work in a country, or your recipient's use of the covered work
+in a country, would infringe one or more identifiable patents in that
+country that you have reason to believe are valid.
+
+  If, pursuant to or in connection with a single transaction or
+arrangement, you convey, or propagate by procuring conveyance of, a
+covered work, and grant a patent license to some of the parties
+receiving the covered work authorizing them to use, propagate, modify
+or convey a specific copy of the covered work, then the patent license
+you grant is automatically extended to all recipients of the covered
+work and works based on it.
+
+  A patent license is "discriminatory" if it does not include within
+the scope of its coverage, prohibits the exercise of, or is
+conditioned on the non-exercise of one or more of the rights that are
+specifically granted under this License.  You may not convey a covered
+work if you are a party to an arrangement with a third party that is
+in the business of distributing software, under which you make payment
+to the third party based on the extent of your activity of conveying
+the work, and under which the third party grants, to any of the
+parties who would receive the covered work from you, a discriminatory
+patent license (a) in connection with copies of the covered work
+conveyed by you (or copies made from those copies), or (b) primarily
+for and in connection with specific products or compilations that
+contain the covered work, unless you entered into that arrangement,
+or that patent license was granted, prior to 28 March 2007.
+
+  Nothing in this License shall be construed as excluding or limiting
+any implied license or other defenses to infringement that may
+otherwise be available to you under applicable patent law.
+
+  12. No Surrender of Others' Freedom.
+
+  If conditions are imposed on you (whether by court order, agreement or
+otherwise) that contradict the conditions of this License, they do not
+excuse you from the conditions of this License.  If you cannot convey a
+covered work so as to satisfy simultaneously your obligations under this
+License and any other pertinent obligations, then as a consequence you may
+not convey it at all.  For example, if you agree to terms that obligate you
+to collect a royalty for further conveying from those to whom you convey
+the Program, the only way you could satisfy both those terms and this
+License would be to refrain entirely from conveying the Program.
+
+  13. Remote Network Interaction; Use with the GNU General Public License.
+
+  Notwithstanding any other provision of this License, if you modify the
+Program, your modified version must prominently offer all users
+interacting with it remotely through a computer network (if your version
+supports such interaction) an opportunity to receive the Corresponding
+Source of your version by providing access to the Corresponding Source
+from a network server at no charge, through some standard or customary
+means of facilitating copying of software.  This Corresponding Source
+shall include the Corresponding Source for any work covered by version 3
+of the GNU General Public License that is incorporated pursuant to the
+following paragraph.
+
+  Notwithstanding any other provision of this License, you have
+permission to link or combine any covered work with a work licensed
+under version 3 of the GNU General Public License into a single
+combined work, and to convey the resulting work.  The terms of this
+License will continue to apply to the part which is the covered work,
+but the work with which it is combined will remain governed by version
+3 of the GNU General Public License.
+
+  14. Revised Versions of this License.
+
+  The Free Software Foundation may publish revised and/or new versions of
+the GNU Affero General Public License from time to time.  Such new versions
+will be similar in spirit to the present version, but may differ in detail to
+address new problems or concerns.
+
+  Each version is given a distinguishing version number.  If the
+Program specifies that a certain numbered version of the GNU Affero General
+Public License "or any later version" applies to it, you have the
+option of following the terms and conditions either of that numbered
+version or of any later version published by the Free Software
+Foundation.  If the Program does not specify a version number of the
+GNU Affero General Public License, you may choose any version ever published
+by the Free Software Foundation.
+
+  If the Program specifies that a proxy can decide which future
+versions of the GNU Affero General Public License can be used, that proxy's
+public statement of acceptance of a version permanently authorizes you
+to choose that version for the Program.
+
+  Later license versions may give you additional or different
+permissions.  However, no additional obligations are imposed on any
+author or copyright holder as a result of your choosing to follow a
+later version.
+
+  15. Disclaimer of Warranty.
+
+  THERE IS NO WARRANTY FOR THE PROGRAM, TO THE EXTENT PERMITTED BY
+APPLICABLE LAW.  EXCEPT WHEN OTHERWISE STATED IN WRITING THE COPYRIGHT
+HOLDERS AND/OR OTHER PARTIES PROVIDE THE PROGRAM "AS IS" WITHOUT WARRANTY
+OF ANY KIND, EITHER EXPRESSED OR IMPLIED, INCLUDING, BUT NOT LIMITED TO,
+THE IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR
+PURPOSE.  THE ENTIRE RISK AS TO THE QUALITY AND PERFORMANCE OF THE PROGRAM
+IS WITH YOU.  SHOULD THE PROGRAM PROVE DEFECTIVE, YOU ASSUME THE COST OF
+ALL NECESSARY SERVICING, REPAIR OR CORRECTION.
+
+  16. Limitation of Liability.
+
+  IN NO EVENT UNLESS REQUIRED BY APPLICABLE LAW OR AGREED TO IN WRITING
+WILL ANY COPYRIGHT HOLDER, OR ANY OTHER PARTY WHO MODIFIES AND/OR CONVEYS
+THE PROGRAM AS PERMITTED ABOVE, BE LIABLE TO YOU FOR DAMAGES, INCLUDING ANY
+GENERAL, SPECIAL, INCIDENTAL OR CONSEQUENTIAL DAMAGES ARISING OUT OF THE
+USE OR INABILITY TO USE THE PROGRAM (INCLUDING BUT NOT LIMITED TO LOSS OF
+DATA OR DATA BEING RENDERED INACCURATE OR LOSSES SUSTAINED BY YOU OR THIRD
+PARTIES OR A FAILURE OF THE PROGRAM TO OPERATE WITH ANY OTHER PROGRAMS),
+EVEN IF SUCH HOLDER OR OTHER PARTY HAS BEEN ADVISED OF THE POSSIBILITY OF
+SUCH DAMAGES.
+
+  17. Interpretation of Sections 15 and 16.
+
+  If the disclaimer of warranty and limitation of liability provided
+above cannot be given local legal effect according to their terms,
+reviewing courts shall apply local law that most closely approximates
+an absolute waiver of all civil liability in connection with the
+Program, unless a warranty or assumption of liability accompanies a
+copy of the Program in return for a fee.
+
+                     END OF TERMS AND CONDITIONS
+
+            How to Apply These Terms to Your New Programs
+
+  If you develop a new program, and you want it to be of the greatest
+possible use to the public, the best way to achieve this is to make it
+free software which everyone can redistribute and change under these terms.
+
+  To do so, attach the following notices to the program.  It is safest
+to attach them to the start of each source file to most effectively
+state the exclusion of warranty; and each file should have at least
+the "copyright" line and a pointer to where the full notice is found.
+
+    <one line to give the program's name and a brief idea of what it does.>
+    Copyright (C) <year>  <name of author>
+
+    This program is free software: you can redistribute it and/or modify
+    it under the terms of the GNU Affero General Public License as published
+    by the Free Software Foundation, either version 3 of the License, or
+    (at your option) any later version.
+
+    This program is distributed in the hope that it will be useful,
+    but WITHOUT ANY WARRANTY; without even the implied warranty of
+    MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the
+    GNU Affero General Public License for more details.
+
+    You should have received a copy of the GNU Affero General Public License
+    along with this program.  If not, see <https://www.gnu.org/licenses/>.
+
+Also add information on how to contact you by electronic and paper mail.
+
+  If your software can interact with users remotely through a computer
+network, you should also make sure that it provides a way for users to
+get its source.  For example, if your program is a web application, its
+interface could display a "Source" link that leads users to an archive
+of the code.  There are many ways you could offer source, and different
+solutions will be better for different programs; see section 13 for the
+specific requirements.
+
+  You should also get your employer (if you work as a programmer) or school,
+if any, to sign a "copyright disclaimer" for the program, if necessary.
+For more information on this, and how to apply and follow the GNU AGPL, see
+<https://www.gnu.org/licenses/>.
diff --git a/Procfile b/Procfile
deleted file mode 100644
index 2b5132e..0000000
--- a/Procfile
+++ /dev/null
@@ -1,2 +0,0 @@
-web: gunicorn app:app
-worker: python worker.py
\ No newline at end of file
diff --git a/README.md b/README.md
index f4df345..4c1da94 100644
--- a/README.md
+++ b/README.md
@@ -1,169 +1,98 @@
 # video service
 
-## Requeriments
-
-- python 3.12.x
-- redis 7.2.x
-- [heroku-22 stack](https://devcenter.heroku.com/articles/heroku-22-stack) (only for deploys, not need to install locally)
-
 ## About
 
-### Notes
+Video and image ingestion service running on RunPod Serverless with GPU acceleration.
 
-- Python worker and python Flask server runs on Heroku.
-- Provides extraction of thumbnail and filmstrip images, verifies correctness of resolution, format, bps etc (we can do a trial decode), removes sound, transcodes if needed.
-- Uses ffmpeg.
-- Queues for input and output.
-- Eventually we’ll need GPUs when we get as far as upscaling, Stable Diffusion, and aesthetic models. So we may migrate this to AWS, Modal, or Replicate since Heroku doesn’t have them.
+- Transcodes video to H.265/HEVC 1080p using NVIDIA NVENC (with CPU fallback)
+- Generates thumbnails and filmstrip frames
+- Converts images to WebP format
+- Calculates MD5 hashes
+- Uses ffmpeg with CUDA hardware acceleration for decoding and encoding
 
-## Run service
+## Job Types
 
-### Locally
+| Type        | Input                     | Description                   |
+| ----------- | ------------------------- | ----------------------------- |
+| `video`     | `dream_uuid`, `extension` | Full video ingestion pipeline |
+| `image`     | `dream_uuid`, `extension` | Image conversion to WebP      |
+| `md5`       | `dream_uuid`              | MD5 hash of processed video   |
+| `filmstrip` | `dream_uuid`              | Generate filmstrip frames     |
 
-#### Install FFMPEG
+## Requirements
 
-Install [ffmpeg](https://ffmpeg.org/download.html), on macOS
+- Python 3.12.x
+- ffmpeg
+- ImageMagick (for image WebP conversion)
+- NVIDIA GPU with NVENC support (optional, falls back to CPU)
 
-```bash
-brew install ffmpeg
-```
+## Run Locally
 
-#### Install pyenv-virtualenv (recommended)
-
-Install pyenv-virtualenv following [this](https://github.com/pyenv/pyenv-virtualenv?tab=readme-ov-file#installation) documentation and config python 3.12.x
-
-##### create pyenv
+### Install dependencies
 
 ```bash
-pyenv virtualenv 3.12.2 edream_video
+brew install ffmpeg imagemagick
 ```
 
-##### activate pyenv
+### Install pyenv-virtualenv (recommended)
 
 ```bash
+pyenv virtualenv 3.12.2 edream_video
 pyenv activate edream_video
 ```
 
-#### Install redis
-
-Install [redis](https://redis.io/docs/install/install-redis/), on macOS
-
-```bash
-brew install redis
-```
-
-Start redis service on mac
-
-```bash
-brew services start redis
-```
-
-#### Install requirements
+### Install requirements
 
 ```bash
 pip install -r requirements.txt
 ```
 
-#### install edream sdk
-
-Fetch submodule with init
+### Install edream SDK
 
 ```bash
 git submodule init
-```
-
-Update (every time that is needed)
-
-```bash
 git submodule update --remote
-```
-
-Install locally
-
-```bash
 pip install -e python-api
 ```
 
-#### Run
-
-On two different terminals, run flask server and worker
-
-Run flask app on other terminal
-
-```bash
- flask run
-```
-
-Run worker
-
-```bash
- python worker.py
-```
-
-Now flask server is running and waiting for requests to process videos
-
-**Note for macOS**
-
-Port 5000 may be in use by another program. Either identify and stop that program, or start the server with a different port.
-On macOS, try disabling the 'AirPlay Receiver' service from System Preferences -> General -> AirDrop & Handoff.
-
-### Stage/Production Server
-
-#### Config
-
-These settings are already in place for stage/production environments, just follow the steps if you need to set up a new environment or if you need to update any settings.
-
-##### FFMPEG
-
-Adding heroku ffmpeg buildpacks to video service
+### Set environment variables
 
 ```bash
-heroku buildpacks:add --index 1 https://github.com/jonathanong/heroku-buildpack-ffmpeg-latest.git -a video-service
+cp .env.example .env
+# Edit .env with your BACKEND_URL and BACKEND_API_KEY
 ```
 
-##### Redis
-
-Adding heroku redis add-on to video service
+### Run handler locally
 
 ```bash
-heroku addons:create rediscloud:30 -a video-service
+python handler.py --test_input test_input.json
 ```
 
-##### python-api sdk
+Edit `test_input.json` with a real `dream_uuid` to test.
 
-Installing python-api is different from local, heroku needs to set a ssh-private-key to install edream_sdk package from [requirements.txt](requirements.txt), follow next steps to set up automatic installation. This [documentation](https://elements.heroku.com/buildpacks/debitoor/ssh-private-key-buildpack) helps setup ssh-private-key-buildpack.
+## Docker
 
-##### ssh-private-key-buildpack
+### Build
 
 ```bash
-heroku buildpacks:set --index 1 https://github.com/debitoor/ssh-private-key-buildpack.git -a video-service
+docker build --platform linux/amd64 -t dream-ingestion .
 ```
 
-Set `SSH_KEY`, replace `cat path/to/your/keys/id_rsa` with edream id_rsa location (github deploy key). Deploy key should be setup on python-api repo.
+### Run (CPU, no GPU)
 
 ```bash
-heroku config:set SSH_KEY=$(cat path/to/your/keys/id_rsa | base64) -a video-service
+docker run --platform linux/amd64 \
+  -e BACKEND_URL=<backend-url> \
+  -e BACKEND_API_KEY=<backend-apikey> \
+  dream-ingestion \
+  python3 -u /app/handler.py --test_input /app/test_input.json
 ```
 
-##### Worker
-
-Adding worker to video service
+### Run (GPU, on NVIDIA machine)
 
 ```bash
-heroku ps:scale worker=1 -a video-service
+docker run --gpus all \
+  -e BACKEND_URL=<backend-url> \
+  -e BACKEND_API_KEY=<backend-apikey> \
+  dream-ingestion
 ```
-
-##### Procfile
-
-Adding Procfile
-
-Add Procfile and make sure both dynos are running
-
-```
-web: gunicorn app:app
-worker: python worker.py
-```
-
-#### Deploy
-
-- When you merge a change from a branch feat/name or fix/name to stage, or push changes directly to stage a deploy is trigger automatically on heroku.
diff --git a/app.py b/app.py
deleted file mode 100644
index 1973c99..0000000
--- a/app.py
+++ /dev/null
@@ -1,120 +0,0 @@
-import os
-import logging
-from flask import Flask, request, jsonify, make_response
-from dotenv import load_dotenv
-from rq import Queue
-from worker import conn
-from utils.process_video import run_video_ingestion
-from utils.process_md5 import run_video_md5
-from utils.process_filmstrip import run_video_filmstrip
-from utils.process_image import run_image_ingestion
-from decorators.api_key_decorator import api_key_required
-from config import Env
-from marshmallow import ValidationError
-from schemas.process_video_schema import (
-    VideoProcessSchema,
-    VideoMd5Schema,
-    VideoFilmstripSchema,
-)
-from schemas.process_image_schema import ImageProcessSchema
-
-load_dotenv()
-
-# set default timeout value, 24 hrs
-Queue.DEFAULT_TIMEOUT = 60 * 60 * 24
-
-app = Flask(__name__)
-q = Queue(connection=conn)
-env = os.getenv("ENV")
-env_config = os.getenv("APP_SETTINGS", "config.DevelopmentConfig")
-app.config.from_object(env_config)
-
-
-# Configure flask logging
-if env == Env.LOCAL:
-    logging.basicConfig(
-        level=logging.DEBUG,  # Set to DEBUG to capture all logs
-        format="%(asctime)s - %(name)s - %(levelname)s - %(message)s",
-        handlers=[logging.FileHandler("flask.log"), logging.StreamHandler()],
-    )
-else:
-    logging.basicConfig(
-        level=logging.WARNING,  # Set to WARNING to capture warnings and errors
-        format="%(asctime)s - %(name)s - %(levelname)s - %(message)s",
-        handlers=[logging.StreamHandler()],
-    )
-
-
-def get_job_status(job):
-    status = {
-        "id": job.id,
-        "result": job.result,
-        "status": (
-            "failed"
-            if job.is_failed
-            else "pending" if job.result == None else "completed"
-        ),
-    }
-    status.update(job.meta)
-    return status
-
-
-@app.route("/process-video", methods=["POST"])
-@api_key_required
-def process_video_handler():
-    data = request.json
-    schema = VideoProcessSchema()
-    try:
-        validated_data = schema.load(data)
-        new_job = q.enqueue(run_video_ingestion, args=(validated_data,))
-        output = get_job_status(new_job)
-        return jsonify(output)
-    except ValidationError as err:
-        return make_response(jsonify({"sucess": False, "message": err.messages}), 400)
-
-
-@app.route("/video/md5", methods=["POST"])
-@api_key_required
-def process_video_md5_handler():
-    data = request.json
-    schema = VideoMd5Schema()
-    try:
-        validated_data = schema.load(data)
-        new_job = q.enqueue(run_video_md5, args=(validated_data,))
-        output = get_job_status(new_job)
-        return jsonify(output)
-    except ValidationError as err:
-        return make_response(jsonify({"sucess": False, "message": err.messages}), 400)
-
-
-@app.route("/video/filmstrip", methods=["POST"])
-@api_key_required
-def process_video_filmstrip_handler():
-    data = request.json
-    schema = VideoFilmstripSchema()
-    try:
-        validated_data = schema.load(data)
-        new_job = q.enqueue(run_video_filmstrip, args=(validated_data,))
-        output = get_job_status(new_job)
-        return jsonify(output)
-    except ValidationError as err:
-        return make_response(jsonify({"sucess": False, "message": err.messages}), 400)
-
-
-@app.route("/process-image", methods=["POST"])
-@api_key_required
-def process_image_handler():
-    data = request.json
-    schema = ImageProcessSchema()
-    try:
-        validated_data = schema.load(data)
-        new_job = q.enqueue(run_image_ingestion, args=(validated_data,))
-        output = get_job_status(new_job)
-        return jsonify(output)
-    except ValidationError as err:
-        return make_response(jsonify({"sucess": False, "message": err.messages}), 400)
-
-
-if __name__ == "__main__":
-    port = int(os.environ.get("PORT", 5000))
-    app.run(host="0.0.0.0", port=port)
diff --git a/clients/edream.py b/clients/edream.py
index c53f7ab..65929e3 100644
--- a/clients/edream.py
+++ b/clients/edream.py
@@ -7,12 +7,5 @@
 BACKEND_URL = os.getenv("BACKEND_URL")
 BACKEND_API_KEY = os.getenv("BACKEND_API_KEY")
 
-edream_client = None
-
-
-# edream sdk client
-def init_edream():
-    global edream_client
-    edream_client = create_edream_client(
-        backend_url=BACKEND_URL, api_key=BACKEND_API_KEY
-    )
+edream_client = create_edream_client(backend_url=BACKEND_URL, api_key=BACKEND_API_KEY)
+print(f"eDream client initialized (backend: {BACKEND_URL})")
diff --git a/config.py b/config.py
deleted file mode 100644
index 53728a4..0000000
--- a/config.py
+++ /dev/null
@@ -1,22 +0,0 @@
-class Config:
-    DEBUG = False
-    DEVELOPMENT = False
-    CSRF_ENABLED = True
-    ASSETS_DEBUG = False
-
-
-class ProductionConfig(Config):
-    pass
-
-
-class DevelopmentConfig(Config):
-    DEBUG = True
-    DEVELOPMENT = True
-    TEMPLATES_AUTO_RELOAD = True
-    ASSETS_DEBUG = True
-
-
-class Env:
-    DEVELOPMENT = "development"
-    PRODUCTION = "production"
-    LOCAL = "local"
diff --git a/decorators/api_key_decorator.py b/decorators/api_key_decorator.py
deleted file mode 100644
index b9732f7..0000000
--- a/decorators/api_key_decorator.py
+++ /dev/null
@@ -1,29 +0,0 @@
-from flask import request, jsonify
-import os
-from dotenv import load_dotenv
-from functools import wraps
-
-
-load_dotenv()
-API_KEY = os.getenv("API_KEY")
-
-
-# Decorator to verify apikey
-def api_key_required(f):
-    @wraps(f)  # Add this line
-    def decorator(*args, **kwargs):
-        # get apikey from headers
-        auth_header = request.headers.get("Authorization")
-
-        # verify if header is present and follows `Bearer <token>` format
-        if auth_header and auth_header.startswith("Api-Key "):
-            apikey = auth_header[len("Api-Key ") :]
-
-            # compare request apikey with env API_KEY
-            if apikey == API_KEY:
-                return f(*args, **kwargs)
-
-        # if authentication fails returns error
-        return jsonify({"error": "Unauthorized"}), 401
-
-    return decorator
diff --git a/entrypoint.sh b/entrypoint.sh
new file mode 100644
index 0000000..2e3465a
--- /dev/null
+++ b/entrypoint.sh
@@ -0,0 +1,11 @@
+#!/usr/bin/env bash
+set -e
+
+echo "Checking NVENC encoder availability..."
+if ffmpeg -hide_banner -encoders 2>/dev/null | grep -q hevc_nvenc; then
+    echo "NVENC hardware encoder: AVAILABLE"
+else
+    echo "NVENC hardware encoder: NOT AVAILABLE (will use CPU fallback)"
+fi
+
+exec "$@"
diff --git a/handler.py b/handler.py
new file mode 100644
index 0000000..4a6fe7c
--- /dev/null
+++ b/handler.py
@@ -0,0 +1,150 @@
+from collections.abc import Callable, Mapping
+from typing import Any
+from uuid import UUID
+
+import runpod
+
+from utils.process_filmstrip import run_video_filmstrip
+from utils.process_image import run_image_ingestion
+from utils.process_md5 import run_video_md5
+from utils.process_video import run_video_ingestion
+
+ALLOWED_VIDEO_TYPES = frozenset(
+    {
+        "mp4",
+        "avi",
+        "mov",
+        "wmv",
+        "mkv",
+        "flv",
+        "mpeg",
+        "webm",
+        "ogv",
+        "3gp",
+        "3g2",
+        "h264",
+        "hevc",
+        "divx",
+        "xvid",
+        "avchd",
+    }
+)
+ALLOWED_IMAGE_TYPES = frozenset(
+    {
+        "jpg",
+        "jpeg",
+        "png",
+        "gif",
+        "bmp",
+        "webp",
+        "tiff",
+        "svg",
+        "ico",
+        "heif",
+        "heic",
+    }
+)
+SUPPORTED_JOB_TYPES = ("video", "image", "md5", "filmstrip")
+JobRunner = Callable[[dict[str, str]], None]
+JOB_RUNNERS: dict[str, JobRunner] = {
+    "video": run_video_ingestion,
+    "image": run_image_ingestion,
+    "md5": run_video_md5,
+    "filmstrip": run_video_filmstrip,
+}
+
+
+def _is_valid_uuid(value: str) -> bool:
+    """Return whether the provided value is a valid UUID string."""
+    try:
+        UUID(value)
+    except (TypeError, ValueError):
+        return False
+    return True
+
+
+def _normalize_job_type(value: Any) -> str:
+    """Normalize the incoming job type for validation and dispatch."""
+    return str(value).strip().lower()
+
+
+def _normalize_extension(value: Any) -> str:
+    """Normalize file extensions by trimming whitespace and leading dots."""
+    return str(value).strip().lower().lstrip(".")
+
+
+def validate_input(job_input: Mapping[str, Any]) -> str | None:
+    """Validate the Runpod job payload and return an error message if invalid."""
+    job_type = _normalize_job_type(job_input.get("type"))
+    if not job_type:
+        return "Missing required field: type (video, image, md5, filmstrip)"
+
+    if job_type not in SUPPORTED_JOB_TYPES:
+        return (
+            f"Invalid type: {job_type}. Must be one of: "
+            f"{', '.join(SUPPORTED_JOB_TYPES)}"
+        )
+
+    dream_uuid = job_input.get("dream_uuid")
+    if not isinstance(dream_uuid, str) or not _is_valid_uuid(dream_uuid):
+        return "Missing or invalid dream_uuid (must be a valid UUID)"
+
+    if job_type not in {"video", "image"}:
+        return None
+
+    extension = _normalize_extension(job_input.get("extension"))
+    if not extension:
+        return f"Missing required field: extension for type '{job_type}'"
+
+    allowed_extensions = (
+        ALLOWED_VIDEO_TYPES if job_type == "video" else ALLOWED_IMAGE_TYPES
+    )
+    if extension not in allowed_extensions:
+        return (
+            f"Invalid {job_type} extension: {extension}. "
+            f"Allowed: {sorted(allowed_extensions)}"
+        )
+
+    return None
+
+
+def _build_job_payload(job_input: Mapping[str, Any]) -> dict[str, str]:
+    """Build the normalized payload passed to the concrete job runner."""
+    payload = {
+        "dream_uuid": str(job_input["dream_uuid"]).strip(),
+    }
+
+    job_type = _normalize_job_type(job_input["type"])
+    if job_type in {"video", "image"}:
+        payload["extension"] = _normalize_extension(job_input["extension"])
+
+    return payload
+
+
+def handler(event: Mapping[str, Any]) -> dict[str, str]:
+    """Handle a Runpod event for video-related processing jobs."""
+    raw_job_input = event.get("input", {})
+    if not isinstance(raw_job_input, Mapping):
+        return {"error": "Invalid input payload: input must be an object"}
+
+    error = validate_input(raw_job_input)
+    if error:
+        return {"error": error}
+
+    job_type = _normalize_job_type(raw_job_input["type"])
+    dream_uuid = str(raw_job_input["dream_uuid"]).strip()
+    payload = _build_job_payload(raw_job_input)
+
+    print(f"Processing {job_type} job for dream: {dream_uuid}")
+
+    try:
+        JOB_RUNNERS[job_type](payload)
+    except Exception as exc:
+        error_message = str(exc)
+        print(f"Job failed for dream {dream_uuid}: {error_message}")
+        return {"error": error_message, "type": job_type, "dream_uuid": dream_uuid}
+
+    return {"status": "success", "type": job_type, "dream_uuid": dream_uuid}
+
+
+runpod.serverless.start({"handler": handler})
diff --git a/requirements.txt b/requirements.txt
index 363bbb5..247af3a 100644
--- a/requirements.txt
+++ b/requirements.txt
@@ -1,22 +1,12 @@
-blinker==1.8.2
 certifi==2024.8.30
 charset-normalizer==3.3.2
-click==8.1.7
 dacite==1.8.1
-Flask==3.0.0
-gunicorn==21.2.0
 idna==3.10
-itsdangerous==2.2.0
-Jinja2==3.1.4
-MarkupSafe==2.1.5
-marshmallow==3.21.3
 packaging==24.1
 python-dateutil==2.8.2
 python-dotenv==1.0.0
-redis==5.0.1
 requests==2.31.0
-rq==1.15.1
 urllib3==2.0.7
-Werkzeug==3.0.4
 Pillow==10.0.0
--e git+ssh://git@github.com/e-dream-ai/python-api.git@main#egg=edream_sdk
+runpod==1.7.9
+git+https://github.com/e-dream-ai/python-api.git@main#egg=edream_sdk
diff --git a/schemas/process_image_schema.py b/schemas/process_image_schema.py
deleted file mode 100644
index 161b83c..0000000
--- a/schemas/process_image_schema.py
+++ /dev/null
@@ -1,23 +0,0 @@
-from marshmallow import Schema, fields, validate
-
-ALLOWED_IMAGE_TYPES = [
-    "jpg",
-    "jpeg",
-    "png",
-    "gif",
-    "bmp",
-    "webp",
-    "tiff",
-    "svg",
-    "ico",
-    "heif",
-    "heic",
-]
-
-
-class ImageProcessSchema(Schema):
-    dream_uuid = fields.Str(required=True, validate=[validate.Length(equal=36)])
-    extension = fields.Str(
-        required=True, validate=[validate.OneOf(ALLOWED_IMAGE_TYPES)]
-    )
-
diff --git a/schemas/process_video_schema.py b/schemas/process_video_schema.py
deleted file mode 100644
index 41d516e..0000000
--- a/schemas/process_video_schema.py
+++ /dev/null
@@ -1,35 +0,0 @@
-from marshmallow import Schema, fields, validate, ValidationError
-
-ALLOWED_VIDEO_TYPES = [
-    "mp4",
-    "avi",
-    "mov",
-    "wmv",
-    "mkv",
-    "flv",
-    "mpeg",
-    "webm",
-    "ogv",
-    "3gp",
-    "3g2",
-    "h264",
-    "hevc",
-    "divx",
-    "xvid",
-    "avchd",
-]
-
-
-class VideoProcessSchema(Schema):
-    dream_uuid = fields.Str(required=True, validate=[validate.Length(equal=36)])
-    extension = fields.Str(
-        required=True, validate=[validate.OneOf(ALLOWED_VIDEO_TYPES)]
-    )
-
-
-class VideoMd5Schema(Schema):
-    dream_uuid = fields.Str(required=True, validate=[validate.Length(equal=36)])
-
-
-class VideoFilmstripSchema(Schema):
-    dream_uuid = fields.Str(required=True, validate=[validate.Length(equal=36)])
diff --git a/test_input.json b/test_input.json
new file mode 100644
index 0000000..86580e2
--- /dev/null
+++ b/test_input.json
@@ -0,0 +1,7 @@
+{
+  "input": {
+    "type": "video",
+    "dream_uuid": "00000000-0000-0000-0000-000000000000",
+    "extension": "mp4"
+  }
+}
diff --git a/utils/ffmpeg_utils.py b/utils/ffmpeg_utils.py
index d6f2e9c..4cd5861 100644
--- a/utils/ffmpeg_utils.py
+++ b/utils/ffmpeg_utils.py
@@ -1,82 +1,110 @@
 import os
 import subprocess
 import sys
-import platform
+import hashlib
 
 
-def get_hardware_acceleration_codec():
-    os_name = platform.system()
+def _check_nvenc_available() -> bool:
+    """Check if NVIDIA NVENC hardware encoder is available."""
+    try:
+        result = subprocess.run(
+            ["ffmpeg", "-hide_banner", "-encoders"],
+            capture_output=True, text=True, timeout=10
+        )
+        return "hevc_nvenc" in result.stdout
+    except Exception:
+        return False
+
+
+GPU_AVAILABLE = _check_nvenc_available()
+print(f"GPU NVENC available: {GPU_AVAILABLE}")
 
-    if os_name == "Windows":
-        return "libx264"  # software encoder for windows
-    elif os_name == "Darwin":
-        return "h264_videotoolbox"  # VideoToolbox for macOS
-    elif os_name == "Linux":
-        return "h264_vaapi"  # VA-API for Linux
-    else:
-        print(f"Unsupported operating system: {os_name}")
-        sys.exit(1)
+
+def _calculate_md5(file_path: str) -> str:
+    """Calculate MD5 hash of a file using hashlib."""
+    hash_md5 = hashlib.md5()
+    with open(file_path, "rb") as f:
+        for chunk in iter(lambda: f.read(8192), b""):
+            hash_md5.update(chunk)
+    return hash_md5.hexdigest()
 
 
 def convert_video(input_file: str, output_file: str) -> str | None:
     """
-    Executes video ingestion
+    Executes video ingestion with GPU acceleration (NVENC) if available,
+    falls back to CPU encoding otherwise.
     """
-    cmd = [
-        "ffmpeg",
-        "-i",
-        input_file,
-        "-an",
-        "-s",
-        "1920x1080",
-        "-c:v",
-        "libx265",
-        "-crf",
-        "24",
-        "-pix_fmt",
-        "yuv420p",
-        "-tag:v",
-        "hvc1",
-        "-fps_mode",
-        "passthrough",
-        "-y",
-        output_file,
-    ]
+    if GPU_AVAILABLE:
+        cmd = [
+            "ffmpeg",
+            "-hwaccel", "cuda",
+            "-i", input_file,
+            "-an",
+            "-s", "1920x1080",
+            "-c:v", "hevc_nvenc",
+            "-preset", "p5",
+            "-rc", "vbr",
+            "-cq", "26",
+            "-b:v", "0",
+            "-pix_fmt", "yuv420p",
+            "-tag:v", "hvc1",
+            "-fps_mode", "passthrough",
+            "-y", output_file,
+        ]
+        print(f"Starting GPU-accelerated video conversion: {input_file}")
+    else:
+        cmd = [
+            "ffmpeg",
+            "-i", input_file,
+            "-an",
+            "-s", "1920x1080",
+            "-c:v", "libx265",
+            "-crf", "24",
+            "-pix_fmt", "yuv420p",
+            "-tag:v", "hvc1",
+            "-fps_mode", "passthrough",
+            "-y", output_file,
+        ]
+        print(f"Starting CPU video conversion (no GPU detected): {input_file}")
 
     try:
-        print(f"Starting video conversion: {input_file}")
-        
         process = subprocess.Popen(
             cmd, stdout=subprocess.PIPE, stderr=subprocess.PIPE, text=True
         )
         stdout, stderr = process.communicate()
-        
-        # Check if FFmpeg succeeded
+
+        if process.returncode != 0 and GPU_AVAILABLE:
+            print(f"GPU encoding failed (exit code {process.returncode}), falling back to CPU. Error: {stderr[-1000:] if stderr else 'unknown error'}")
+            cmd = [
+                "ffmpeg",
+                "-i", input_file,
+                "-an",
+                "-s", "1920x1080",
+                "-c:v", "libx265",
+                "-crf", "24",
+                "-pix_fmt", "yuv420p",
+                "-tag:v", "hvc1",
+                "-fps_mode", "passthrough",
+                "-y", output_file,
+            ]
+            process = subprocess.Popen(
+                cmd, stdout=subprocess.PIPE, stderr=subprocess.PIPE, text=True
+            )
+            stdout, stderr = process.communicate()
+
         if process.returncode != 0:
             print(f"FFmpeg conversion failed with return code {process.returncode}")
             if stderr:
                 print(f"FFmpeg error: {stderr}")
             return None
-        
-        # Verify the output file actually exists
+
         if not os.path.exists(output_file):
             print(f"Error: Output file does not exist after conversion")
             return None
-            
-        print(f"Video conversion completed successfully")
-
-        # Calculate MD5 of the output file
-        md5_cmd = ["md5sum", output_file]
-        md5_process = subprocess.Popen(
-            md5_cmd, stdout=subprocess.PIPE, stderr=subprocess.PIPE, text=True
-        )
 
-        md5_stdout, md5_stderr = md5_process.communicate()
-
-        if md5_process.returncode != 0:
-            raise Exception(f"MD5 calculation failed: {md5_stderr}")
+        print(f"Video conversion completed successfully")
 
-        md5 = md5_stdout.split()[0]
+        md5 = _calculate_md5(output_file)
         print(f"MD5 calculated: {md5}")
 
         return md5
@@ -93,11 +121,13 @@ def generate_thumbnail(input_file: str, output_file: str):
     """
     cmd = [
         "ffmpeg",
+        "-hwaccel", "cuda",
         "-i", input_file,
         "-vframes", "1",
         "-vf", "scale='min(iw,3840)':'min(ih,2160)':force_original_aspect_ratio=decrease",
         "-pix_fmt", "rgb24",
-        "-compression_level", "6", 
+        "-compression_level", "6",
+        "-update", "1",
         "-y", output_file
     ]
 
@@ -237,6 +267,7 @@ def generate_filmstrip(input_file: str, output_dir: str, filmstrip_frames_array)
     """
     Generates video filmstrip with optimized frame sizes.
     Resizes frames to maximum 1920x1080 to reduce file sizes.
+    Uses CUDA hardware acceleration for decoding when available.
     """
 
     if not os.path.exists(output_dir):
@@ -246,17 +277,16 @@ def generate_filmstrip(input_file: str, output_dir: str, filmstrip_frames_array)
     select_frames = "+".join([f"eq(n\\,{frame})" for frame in filmstrip_frames_array])
     temp_output_pattern = os.path.join(output_dir, "temp_frame-%d.jpg")
 
-    cmd = [
-        "ffmpeg",
-        "-i",
-        input_file,
+    cmd = ["ffmpeg"]
+    if GPU_AVAILABLE:
+        cmd += ["-hwaccel", "cuda"]
+    cmd += [
+        "-i", input_file,
         "-vf",
         f"select='{select_frames}',setpts=N/FRAME_RATE/TB,scale=1920:1080:force_original_aspect_ratio=decrease",
-        "-vsync",
-        "vfr",
-        "-q:v", "3", 
-        "-start_number",
-        "0",  # start output file numbering from 0
+        "-fps_mode", "vfr",
+        "-q:v", "3",
+        "-start_number", "0",
         temp_output_pattern,
     ]
 
diff --git a/utils/file_utils.py b/utils/file_utils.py
index 5b55636..5a4b5a6 100644
--- a/utils/file_utils.py
+++ b/utils/file_utils.py
@@ -1,4 +1,5 @@
 import os
+import shutil
 
 processed_video_suffix = "processed"
 
@@ -14,7 +15,8 @@ def get_file_size(file_path: str) -> int | None:
         return None
 
 
-def get_file_extension(file_name):
+def get_file_extension(file_name: str | None) -> str:
+    """Return the lowercase extension for a file name or URL."""
     if not file_name:
         return ""
     dot_index = file_name.rfind(".")
@@ -24,9 +26,7 @@ def get_file_extension(file_name):
 
 
 def create_process_directory(dream_uuid: str):
-    """
-    Creates process directory
-    """
+    """Create the per-dream processing directory if it does not exist."""
     directory_path = f"./assets/{dream_uuid}"
     directory_exists = os.path.exists(directory_path)
     if not directory_exists:
@@ -34,31 +34,7 @@ def create_process_directory(dream_uuid: str):
 
 
 def remove_process_directory(dream_uuid: str):
-    """
-    Removes process directory and its files
-    """
-
-    # filmstrip directory
-    filmstrip_directory_path = f"./assets/{dream_uuid}/filmstrip"
-
-    if os.path.exists(filmstrip_directory_path):
-        filmstrip_files = os.listdir(filmstrip_directory_path)
-
-        for file in filmstrip_files:
-            file_path = os.path.join(filmstrip_directory_path, file)
-            if os.path.isfile(file_path):
-                os.remove(file_path)
-
-        os.removedirs(filmstrip_directory_path)
-
-    # dream directory
-    directory_path = f"./assets/{dream_uuid}/"
-    files = os.listdir(directory_path)
-
-    for file in files:
-        file_path = os.path.join(directory_path, file)
-        if os.path.isfile(file_path):
-            os.remove(file_path)
-
+    """Remove the per-dream processing directory and any generated files."""
+    directory_path = f"./assets/{dream_uuid}"
     if os.path.exists(directory_path):
-        os.removedirs(directory_path)
+        shutil.rmtree(directory_path)
diff --git a/utils/process_filmstrip.py b/utils/process_filmstrip.py
index 66b3363..48845a3 100644
--- a/utils/process_filmstrip.py
+++ b/utils/process_filmstrip.py
@@ -1,25 +1,21 @@
-import subprocess
+from clients.edream import edream_client
+
+from .ffmpeg_utils import (
+    get_filmstrip_array,
+    get_frame_count,
+)
 from .file_utils import (
-    processed_video_suffix,
-    get_file_extension,
     create_process_directory,
+    get_file_extension,
+    processed_video_suffix,
     remove_process_directory,
 )
-from .ffmpeg_utils import (
-    get_frame_count,
-    get_filmstrip_array,
-)
 from .process_video import process_filmstrip
-from clients.edream import edream_client
-
 
-def process_video_filmstrip(dream_uuid):
-    """
-    Executes video filmstrip process
-    """
 
+def process_video_filmstrip(dream_uuid: str) -> list[int]:
+    """Download the processed video and generate its filmstrip frames."""
     dream = edream_client.get_dream(uuid=dream_uuid)
-    # processed video url
     dream_url = dream["video"]
     extension = get_file_extension(dream_url)
     video_path = (
@@ -31,45 +27,34 @@ def process_video_filmstrip(dream_uuid):
         file_path=video_path,
     )
 
-    filmstrip_frames_array = None
+    processed_video_frames = get_frame_count(video_path)
+    if processed_video_frames is None:
+        raise Exception("Filmstrip processing failed - unable to determine frame count")
 
-    try:
-        processed_video_frames = get_frame_count(video_path)
-        filmstrip_frames_array = get_filmstrip_array(
-            total_frames=processed_video_frames
-        )
-
-        process_filmstrip(dream_uuid, video_path, filmstrip_frames_array)
+    filmstrip_frames_array = get_filmstrip_array(
+        total_frames=processed_video_frames
+    )
 
-        return filmstrip_frames_array
-    except subprocess.CalledProcessError as e:
-        print(
-            f"Error: filmstrip generation returned a non-zero exit code ({e.returncode})"
-        )
+    process_filmstrip(dream_uuid, video_path, filmstrip_frames_array)
 
     return filmstrip_frames_array
 
 
-def run_video_filmstrip(data):
-    """
-    Runs video filmstrip process
-    """
+def run_video_filmstrip(data: dict[str, str]) -> None:
+    """Run the processed-video filmstrip workflow for a dream."""
     dream_uuid = data["dream_uuid"]
     create_process_directory(dream_uuid=dream_uuid)
 
     try:
         filmstrip = process_video_filmstrip(dream_uuid)
-    except Exception as e:
-        error_message = str(e)
+        edream_client.set_dream_processed(
+            uuid=dream_uuid,
+            data={"filmstrip": filmstrip},
+        )
+    except Exception as exc:
+        error_message = str(exc)
         print(f"Filmstrip processing failed: {error_message}")
-        remove_process_directory(dream_uuid)
         edream_client.set_dream_failed(uuid=dream_uuid, error=error_message)
-        return
-
-    # set dream processed and save filmstrip
-    edream_client.set_dream_processed(
-        uuid=dream_uuid,
-        data={"filmstrip": filmstrip},
-    )
-
-    remove_process_directory(dream_uuid)
+        raise
+    finally:
+        remove_process_directory(dream_uuid)
diff --git a/utils/process_image.py b/utils/process_image.py
index f557aa3..bf13e1e 100644
--- a/utils/process_image.py
+++ b/utils/process_image.py
@@ -1,26 +1,21 @@
 import os
 import subprocess
-from typing import Tuple, Optional
-from dotenv import load_dotenv
+
 from PIL import Image
+
+from clients.edream import edream_client
+from edream_sdk.types.dream_types import DreamFileType, DreamMediaType
+
 from .file_utils import (
-    processed_video_suffix,
-    get_file_size,
     create_process_directory,
+    get_file_size,
+    processed_video_suffix,
     remove_process_directory,
 )
-from clients.edream import edream_client
-from edream_sdk.types.dream_types import DreamFileType, DreamMediaType
-
-load_dotenv()
 
 
 def convert_image_to_webp(input_file: str, output_file: str) -> str:
-    """
-    Converts image to WebP format using ImageMagick
-    Uses high quality (90) and high effort (method 6) settings
-    Preserves original resolution
-    """
+    """Convert an image to WebP with quality-oriented ImageMagick settings."""
     try:
         subprocess.run(
             [
@@ -37,19 +32,22 @@ def convert_image_to_webp(input_file: str, output_file: str) -> str:
         )
 
         if not os.path.exists(output_file):
-            raise Exception(f"ImageMagick conversion failed - output file not created: {output_file}")
+            raise Exception(
+                "ImageMagick conversion failed - output file not created: "
+                f"{output_file}"
+            )
 
         return output_file
     except subprocess.CalledProcessError as e:
         raise Exception(f"ImageMagick conversion failed: {e.stderr.decode()}")
     except FileNotFoundError:
-        raise Exception("ImageMagick 'convert' command not found. Please install ImageMagick.")
+        raise Exception(
+            "ImageMagick 'convert' command not found. Please install ImageMagick."
+        )
 
 
 def get_image_resolution(image_path: str) -> tuple[int, int] | None:
-    """
-    Gets image resolution (width, height) in pixels
-    """
+    """Return image resolution as `(width, height)` in pixels."""
     try:
         with Image.open(image_path) as img:
             return img.size
@@ -59,9 +57,7 @@ def get_image_resolution(image_path: str) -> tuple[int, int] | None:
 
 
 def calculate_md5(file_path: str) -> str:
-    """
-    Calculates MD5 hash of a file
-    """
+    """Calculate the MD5 hash for a file."""
     import hashlib
 
     hash_md5 = hashlib.md5()
@@ -72,10 +68,7 @@ def calculate_md5(file_path: str) -> str:
 
 
 def process_image(dream_uuid: str, extension: str) -> dict:
-    """
-    Executes image processing: downloads, converts to WebP, uploads
-    Returns metadata: width, height, size, md5
-    """
+    """Download, convert, upload, and summarize an image processing job."""
     dream = edream_client.get_dream(uuid=dream_uuid)
     dream_url = dream["original_video"]
 
@@ -106,9 +99,9 @@ def process_image(dream_uuid: str, extension: str) -> dict:
         file_size = os.path.getsize(input_file_path)
         print(f"Download completed - {file_size} bytes")
 
-    except Exception as e:
-        print(f"Download failed: {e}")
-        raise e
+    except Exception as exc:
+        print(f"Download failed: {exc}")
+        raise
 
     image_resolution = get_image_resolution(input_file_path)
     processed_media_width = None
@@ -144,11 +137,8 @@ def process_image(dream_uuid: str, extension: str) -> dict:
     }
 
 
-def run_image_ingestion(data: dict):
-    """
-    Runs image ingestion process
-    Sets dream status to PROCESSING, processes image, updates dream with processed data, sets status to PROCESSED
-    """
+def run_image_ingestion(data: dict[str, str]) -> None:
+    """Run the image ingestion workflow for a dream."""
     dream_uuid = data["dream_uuid"]
     extension = data["extension"]
 
@@ -159,23 +149,21 @@ def run_image_ingestion(data: dict):
         metadata = process_image(dream_uuid, extension)
         if metadata is None:
             raise Exception("Image processing failed - no metadata returned")
-    except Exception as e:
-        error_message = str(e)
+        edream_client.set_dream_processed(
+            uuid=dream_uuid,
+            data={
+                "processedVideoSize": metadata["processedVideoSize"],
+                "processedMediaWidth": metadata["processedMediaWidth"],
+                "processedMediaHeight": metadata["processedMediaHeight"],
+                "md5": metadata["md5"],
+                "mediaType": DreamMediaType.IMAGE,
+                "filmstrip": None,
+            },
+        )
+    except Exception as exc:
+        error_message = str(exc)
         print(f"Image processing failed: {error_message}")
-        remove_process_directory(dream_uuid)
         edream_client.set_dream_failed(uuid=dream_uuid, error=error_message)
-        return
-
-    edream_client.set_dream_processed(
-        uuid=dream_uuid,
-        data={
-            "processedVideoSize": metadata["processedVideoSize"],
-            "processedMediaWidth": metadata["processedMediaWidth"],
-            "processedMediaHeight": metadata["processedMediaHeight"],
-            "md5": metadata["md5"],
-            "mediaType": DreamMediaType.IMAGE,
-            "filmstrip": None,
-        },
-    )
-
-    remove_process_directory(dream_uuid)
+        raise
+    finally:
+        remove_process_directory(dream_uuid)
diff --git a/utils/process_md5.py b/utils/process_md5.py
index eb1c3c4..d7d18c7 100644
--- a/utils/process_md5.py
+++ b/utils/process_md5.py
@@ -1,20 +1,18 @@
-import subprocess
+import hashlib
+
+from clients.edream import edream_client
+
 from .file_utils import (
-    processed_video_suffix,
-    get_file_extension,
     create_process_directory,
+    get_file_extension,
+    processed_video_suffix,
     remove_process_directory,
 )
-from clients.edream import edream_client
 
 
-def process_video_md5(dream_uuid):
-    """
-    Executes video md5 process
-    """
-
+def process_video_md5(dream_uuid: str) -> str:
+    """Download the processed video and return its MD5 hash."""
     dream = edream_client.get_dream(uuid=dream_uuid)
-    # processed video url
     dream_url = dream["video"]
     extension = get_file_extension(dream_url)
     video_path = (
@@ -26,46 +24,26 @@ def process_video_md5(dream_uuid):
         file_path=video_path,
     )
 
-    md5 = None
+    hash_md5 = hashlib.md5()
+    with open(video_path, "rb") as file_handle:
+        for chunk in iter(lambda: file_handle.read(8192), b""):
+            hash_md5.update(chunk)
 
-    try:
-        md5_cmd = ["md5sum", video_path]
-        md5_process = subprocess.Popen(
-            md5_cmd, stdout=subprocess.PIPE, stderr=subprocess.PIPE, text=True
-        )
+    return hash_md5.hexdigest()
 
-        # Get output and errors
-        stdout, stderr = md5_process.communicate()
 
-        if md5_process.returncode != 0:
-            raise Exception(f"Md5 error: {stderr}")
-
-        # extract MD5 from output
-        md5 = stdout.split()[0]
-
-        return md5
-    except subprocess.CalledProcessError as e:
-        print(f"Error: md5sum returned a non-zero exit code ({e.returncode})")
-
-    return md5
-
-
-def run_video_md5(data):
-    """
-    Runs video md5 process
-    """
+def run_video_md5(data: dict[str, str]) -> None:
+    """Run the processed-video MD5 workflow for a dream."""
     dream_uuid = data["dream_uuid"]
     create_process_directory(dream_uuid=dream_uuid)
 
     try:
         md5 = process_video_md5(dream_uuid)
-    except Exception as e:
-        error_message = str(e)
+        edream_client.set_dream_processed(uuid=dream_uuid, data={"md5": md5})
+    except Exception as exc:
+        error_message = str(exc)
         print(f"MD5 processing failed: {error_message}")
-        remove_process_directory(dream_uuid)
         edream_client.set_dream_failed(uuid=dream_uuid, error=error_message)
-        return
-
-    edream_client.set_dream_processed(uuid=dream_uuid, data={"md5": md5})
-
-    remove_process_directory(dream_uuid)
+        raise
+    finally:
+        remove_process_directory(dream_uuid)
diff --git a/utils/process_video.py b/utils/process_video.py
index 764963d..689cc9a 100644
--- a/utils/process_video.py
+++ b/utils/process_video.py
@@ -1,113 +1,118 @@
 import os
-from dotenv import load_dotenv
+from concurrent.futures import ThreadPoolExecutor
+
+from clients.edream import edream_client
+from edream_sdk.types.dream_types import DreamFileType, DreamMediaType
+
 from .ffmpeg_utils import (
     convert_video,
+    generate_filmstrip,
     generate_thumbnail,
+    get_filmstrip_array,
     get_frame_count,
     get_video_fps,
     get_video_resolution,
-    generate_filmstrip,
-    get_filmstrip_array,
 )
 from .file_utils import (
-    processed_video_suffix,
-    get_file_size,
     create_process_directory,
+    get_file_size,
+    processed_video_suffix,
     remove_process_directory,
 )
-from clients.edream import edream_client
-from edream_sdk.types.dream_types import DreamFileType, DreamMediaType
 
 
-def process_video(dream_uuid, extension):
-    """
-    Executes process video
-    """
-
+def process_video(dream_uuid: str, extension: str) -> str | None:
+    """Download, transcode, thumbnail, and upload the processed video."""
     dream = edream_client.get_dream(uuid=dream_uuid)
     dream_url = dream["original_video"]
-    
-    # Fix URL format - add https:// if missing
-    if not dream_url.startswith(('http://', 'https://')):
+
+    if not dream_url.startswith(("http://", "https://")):
         dream_url = f"https://{dream_url}"
-    
+
     input_file_path = f"./assets/{dream_uuid}/{dream_uuid}.{extension}"
-    
     print(f"Downloading video from: {dream_url}")
-    
+
     try:
-        # Download the file
         result = edream_client.download_file(
             url=dream_url,
             file_path=input_file_path,
         )
-        
-        # Check if download actually succeeded
+
         if result is False:
-            raise Exception(f"Download failed - edream_client.download_file returned False")
-        
-        # Verify the file was actually downloaded
+            raise Exception(
+                "Download failed - edream_client.download_file returned False"
+            )
+
         if not os.path.exists(input_file_path):
             raise Exception(f"Downloaded file does not exist: {input_file_path}")
-        
+
         file_size = os.path.getsize(input_file_path)
         print(f"Download completed - {file_size} bytes")
-        
-    except Exception as e:
-        print(f"Download failed: {e}")
-        raise e
-
-    # Runs video ingestion
-    md5 = convert_video(
-        input_file=f"./assets/{dream_uuid}/{dream_uuid}.{extension}",
-        output_file=f"./assets/{dream_uuid}/{dream_uuid}_{processed_video_suffix}.mp4",
-    )
-
-    # Generate thumbnail
-    generate_thumbnail(
-        input_file=f"./assets/{dream_uuid}/{dream_uuid}.{extension}",
-        output_file=f"./assets/{dream_uuid}/{dream_uuid}.png",
-    )
-
-    # Upload MP4 video file
-    edream_client.upload_file(
-        file_path=f"./assets/{dream_uuid}/{dream_uuid}_{processed_video_suffix}.mp4",
-        type=DreamFileType.DREAM,
-        options={"uuid": dream_uuid, "processed": True},
-    )
-
-    # upload thumbnail file
-    edream_client.upload_file(
-        file_path=f"./assets/{dream_uuid}/{dream_uuid}.png",
-        type=DreamFileType.THUMBNAIL,
-        options={"uuid": dream_uuid},
-    )
+    except Exception as exc:
+        print(f"Download failed: {exc}")
+        raise
+
+    with ThreadPoolExecutor(max_workers=2) as executor:
+        future_convert = executor.submit(
+            convert_video,
+            input_file=input_file_path,
+            output_file=f"./assets/{dream_uuid}/{dream_uuid}_{processed_video_suffix}.mp4",
+        )
+        future_thumbnail = executor.submit(
+            generate_thumbnail,
+            input_file=input_file_path,
+            output_file=f"./assets/{dream_uuid}/{dream_uuid}.png",
+        )
+        md5 = future_convert.result()
+        future_thumbnail.result()
+
+    with ThreadPoolExecutor(max_workers=2) as executor:
+        future_video_upload = executor.submit(
+            edream_client.upload_file,
+            file_path=f"./assets/{dream_uuid}/{dream_uuid}_{processed_video_suffix}.mp4",
+            type=DreamFileType.DREAM,
+            options={"uuid": dream_uuid, "processed": True},
+        )
+        future_thumbnail_upload = executor.submit(
+            edream_client.upload_file,
+            file_path=f"./assets/{dream_uuid}/{dream_uuid}.png",
+            type=DreamFileType.THUMBNAIL,
+            options={"uuid": dream_uuid},
+        )
+        future_video_upload.result()
+        future_thumbnail_upload.result()
 
     return md5
 
 
-def process_filmstrip(dream_uuid, video_path, filmstrip_frames_array):
-    """
-    Executes process filmstrip
-    """
+def process_filmstrip(
+    dream_uuid: str,
+    video_path: str,
+    filmstrip_frames_array: list[int],
+) -> None:
+    """Generate and upload filmstrip frames for a processed video."""
     generate_filmstrip(
         input_file=video_path,
         filmstrip_frames_array=filmstrip_frames_array,
         output_dir=f"./assets/{dream_uuid}/filmstrip",
     )
 
-    for frame_number in filmstrip_frames_array:
-        edream_client.upload_file(
-            file_path=f"./assets/{dream_uuid}/filmstrip/frame-{frame_number}.jpg",
-            type=DreamFileType.FILMSTRIP,
-            options={"uuid": dream_uuid, "frame_number": frame_number},
-        )
-
-
-def run_video_ingestion(data):
-    """
-    Runs video ingestion process
-    """
+    with ThreadPoolExecutor(max_workers=8) as executor:
+        futures = [
+            executor.submit(
+                edream_client.upload_file,
+                file_path=f"./assets/{dream_uuid}/filmstrip/frame-{frame_number}.jpg",
+                type=DreamFileType.FILMSTRIP,
+                options={"uuid": dream_uuid, "frame_number": frame_number},
+            )
+            for frame_number in filmstrip_frames_array
+        ]
+        for future in futures:
+            future.result()
+
+
+def run_video_ingestion(data: dict[str, str]) -> None:
+    """Run the full video ingestion workflow for a dream."""
     dream_uuid = data["dream_uuid"]
     extension = data["extension"]
 
@@ -118,44 +123,41 @@ def run_video_ingestion(data):
         md5 = process_video(dream_uuid, extension)
         if md5 is None:
             raise Exception("Video processing failed - no MD5 returned")
-    except Exception as e:
-        error_message = str(e)
+        processed_video_path = (
+            f"./assets/{dream_uuid}/{dream_uuid}_{processed_video_suffix}.mp4"
+        )
+        original_video_path = f"./assets/{dream_uuid}/{dream_uuid}.{extension}"
+        processed_video_size = get_file_size(processed_video_path)
+        processed_video_frames = get_frame_count(processed_video_path)
+        process_video_fps = get_video_fps(processed_video_path)
+        video_resolution = get_video_resolution(original_video_path)
+        processed_media_width = None
+        processed_media_height = None
+
+        if video_resolution is not None:
+            processed_media_width, processed_media_height = video_resolution
+
+        filmstrip_frames_array = get_filmstrip_array(total_frames=processed_video_frames)
+        process_filmstrip(dream_uuid, processed_video_path, filmstrip_frames_array)
+
+        edream_client.set_dream_processed(
+            uuid=dream_uuid,
+            data={
+                "processedVideoSize": processed_video_size,
+                "processedVideoFrames": processed_video_frames,
+                "processedVideoFPS": process_video_fps,
+                "processedMediaWidth": processed_media_width,
+                "processedMediaHeight": processed_media_height,
+                "activityLevel": 30 / process_video_fps,
+                "filmstrip": filmstrip_frames_array,
+                "md5": md5,
+                "mediaType": DreamMediaType.VIDEO,
+            },
+        )
+    except Exception as exc:
+        error_message = str(exc)
         print(f"Video processing failed: {error_message}")
-        remove_process_directory(dream_uuid)
         edream_client.set_dream_failed(uuid=dream_uuid, error=error_message)
-        return
-
-    processed_video_path = (
-        f"./assets/{dream_uuid}/{dream_uuid}_{processed_video_suffix}.mp4"
-    )
-    original_video_path = f"./assets/{dream_uuid}/{dream_uuid}.{extension}"
-    processed_video_size = get_file_size(processed_video_path)
-    processed_video_frames = get_frame_count(processed_video_path)
-    process_video_fps = get_video_fps(processed_video_path)
-    video_resolution = get_video_resolution(original_video_path)
-    processed_media_width = None
-    processed_media_height = None
-
-    if video_resolution is not None:
-        processed_media_width, processed_media_height = video_resolution
-
-    filmstrip_frames_array = get_filmstrip_array(total_frames=processed_video_frames)
-
-    process_filmstrip(dream_uuid, processed_video_path, filmstrip_frames_array)
-
-    edream_client.set_dream_processed(
-        uuid=dream_uuid,
-        data={
-            "processedVideoSize": processed_video_size,
-            "processedVideoFrames": processed_video_frames,
-            "processedVideoFPS": process_video_fps,
-            "processedMediaWidth": processed_media_width,
-            "processedMediaHeight": processed_media_height,
-            "activityLevel": 30 / process_video_fps,
-            "filmstrip": filmstrip_frames_array,
-            "md5": md5,
-            "mediaType": DreamMediaType.VIDEO,
-        },
-    )
-
-    remove_process_directory(dream_uuid)
+        raise
+    finally:
+        remove_process_directory(dream_uuid)
diff --git a/worker.py b/worker.py
deleted file mode 100644
index 5e04cae..0000000
--- a/worker.py
+++ /dev/null
@@ -1,56 +0,0 @@
-import os
-import redis
-import logging
-from rq import Worker, Queue, Connection
-from rq.registry import FailedJobRegistry
-from config import Env
-from clients.edream import init_edream
-
-env = os.getenv("ENV")
-listen = ["high", "default", "low"]
-redis_url = os.getenv("REDISCLOUD_URL", "redis://localhost:6379")
-conn = redis.from_url(redis_url)
-
-# # Configure RQ worker logging
-if env == Env.LOCAL:
-    logging.basicConfig(
-        level=logging.DEBUG,  # Match the logging level with the main app
-        format="%(asctime)s - %(name)s - %(levelname)s - %(message)s",
-        handlers=[logging.FileHandler("rq_worker.log"), logging.StreamHandler()],
-    )
-else:
-    logging.basicConfig(
-        level=logging.WARNING,  # Set to WARNING to capture warnings and errors
-        format="%(asctime)s - %(name)s - %(levelname)s - %(message)s",
-        handlers=[logging.StreamHandler()],
-    )
-
-# init edream for worker
-init_edream()
-
-
-# requeue failed jobs function
-def requeue_failed_jobs():
-    with Connection(conn):
-        for name in listen:
-            queue = Queue(name=name, connection=conn)
-            registry = FailedJobRegistry(queue=queue)
-            # Retrieve IDs of all failed jobs
-            failed_job_ids = registry.get_job_ids()
-            for job_id in failed_job_ids:
-                job = queue.fetch_job(job_id)
-                if job:  # If the job exists and has not been removed
-                    # Requeue the job
-                    result = job.requeue()
-                    print(f"Requeued job {job_id} from the {name} queue")
-                    if result:
-                        # Remove the job from registry
-                        registry.remove(job_id, delete_job=False)
-
-
-if __name__ == "__main__":
-    with Connection(conn):
-        queues = [Queue(name=name) for name in listen]
-        worker = Worker(queues=queues)
-        worker.work()
-        requeue_failed_jobs()